Wells Fargo

About this role:

Wells Fargo is seeking a Senior Lead Enterprise Risk & AI Governance Officer - Executive Director within the Model Risk Management (MRM) Governance organization to serve as the enterprise owner of the Artificial Intelligence Risk Management Policy and Program.

This role is designed for a senior thought leader and a trusted advisor in AI governance who operates at a strategic, enterprise level, providing vision, structure, and oversight for how artificial intelligence is governed across the firm. The Senior Lead Enterprise Risk & AI Governance Officer will own the design, integrity, and evolution of this companywide framework, ensuring Wells Fargo maintains a clear, scalable, compliant, and future ready foundation for AI usage.

In this role, you will:
Enterprise AI Governance Vision & Program Architecture

• Architect and shape the AI Risk Management Program from a strategic perspective, defining the overarching framework, standards, controls, and oversight mechanisms that govern AI usage across the enterprise.

• Establish a clear operating model that defines how AI services and models are identified, assessed, governed, monitored, changed, and retired across their lifecycle.

• Ensure the governance program is scalable, sustainable, and adaptable to evolving technologies, regulatory expectations, and business strategies.

Policy Ownership and Governance Accountability

• Serve as the enterprise owner of the Artificial Intelligence Risk Management Policy and supporting procedures and guidance, maintaining accountability for clarity, consistency, and compliance.

• Translate regulatory expectations and enterprise risk principles into policy guardrails and governance standards.

• Ensure policy intent is clearly understood and consistently applied across lines of business, while allowing flexibility for risk-based implementation.

Governance Controls, Standards, and Best Practices

• Define AI governance controls and best practices, including expectations for identification, development, validation, monitoring, change management, and decommissioning.

• Ensure leadership receives clear, executive ready insights into AI risk exposure, governance effectiveness, emerging risks, and systemic issues.

• Establish decision frameworks and escalation paths that guide how AI risks are evaluated, challenged, accepted, or remediated at the enterprise level.

• Oversee the effectiveness of governance controls through structured oversight, reporting, and review mechanisms.

Strategic Leadership, Alignment, and Advisory

• Assemble, engage, and align the appropriate execution teams and stakeholders, ensuring clarity of roles, responsibilities, and accountability across the AI governance ecosystem.

• Provide strategic guidance and planning support to help the organization navigate AI risk, compliance obligations, and responsible AI practices.

• Serve as a trusted advisor to senior leaders, offering informed perspectives on industry trends and peer practices, regulatory developments related to AI and model risk, and enterprise level AI guardrails and risk tolerance

• Represent the AI Risk Management and AIRR Program in enterprise governance forums, audits, and regulatory readiness activities.

• Influence alignment between AI governance, Model Risk Management, and Operational Risk programs across the firm.

Required Qualifications:

• 7+ years of Risk Management experience (Compliance, Financial Crimes, Operational Risk, Audit, Legal, Credit Risk, Market Risk, IT Systems Security, Business Process Management) or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Recognized expertise in AI governance, Model Risk Management, or enterprise level technology risk frameworks.

• Demonstrated experience designing and owning enterprise governance programs or policies.

• Deep understanding of regulatory expectations, industry standards, and emerging practices related to AI and model risk.

• Strong ability to operate as a strategic advisor and thought leader with senior executives and cross enterprise stakeholders.

• Ability to synthesize complex information into clear, actionable leadership reporting, including risks of non‑compliance.

• Exceptional communication skills with the ability to influence, align, and drive decisions at the executive level.

• Bachelor’s degree (BS/BA) or higher.

Job Expectations:

• Ability to travel up to 15% of the time.

• This position offers a hybrid work schedule.

• Willingness to work onsite at the location listed on the job posting.

Job Locations:

• Three Wells Fargo Center, 401 S Tryon St, CHARLOTTE, NC

• 600 Wells Fargo, MINNEAPOLIS, MN

• Las Colinas Bldg B, Irving Campus, IRVING, TX

• West Des Moines Campus, 800 S Jordan Creek Pkwy, WEST DES MOINES, IA

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$159,000.00 - $279,000.00

Posting End Date:

25 Mar 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

About this role:

Wells Fargo is seeking a Senior Quantitative Analytics Specialist - Market Risk Model Validation.

In this role, you will:

• Perform highly complex activities related to creation, implementation, and documentation
• Use highly complex statistical theory to quantify, analyze and manage markets
• Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
• Utilize structured securities and provide expertise on theory and mathematics behind the data
• Manage market, credit, and operational risks to forecast losses and compute capital requirements
• Participate in the discussion related to analytical strategies, modeling and forecasting methods
• Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
• Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills

Required Qualifications:

• 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• Performing mathematical model validation using Python, C++, R, and SQL or other programming languages and mathematical/statistical packages
• Producing required documentation to substantiate model validation.
• Analyzing processes and work flows to make recommendations for process improvement in various risk management and/or business areas as well as participating in and leading model risk projects.
• Strong mathematical, statistical, analytical and computational skills
• Strong communication skills for a variety of audiences (other technical staff, senior management and regulators) both verbally and in writing
• Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions
• Ability to work independently on complex model validations from start to finish
• Able to demonstrate first-hand knowledge of advanced topics in various mathematical and numerical methods such as Monte Carlo, stochastic calculus, differential equations, linear algebra, applied probability, and statistics;
• Skill in managing relationships with key model stakeholders
• Eagerness to contribute collaboratively on projects and discussions
• Perpetual interest in learning something new, but being comfortable with not knowing the all the answers
• Attention to detail in both analytics and documentation
• Aptitude for synthesizing data to 'form a story' and align information to contrast/compare to industry perspective
• Intellectually curious, who enjoy solving problems
• Excellent programing skills and use of software packages such as C++, Python, R, SAS and SQL
• Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
• Good interpersonal skills and ability to develop partnerships and collaborate with other business and functional areas

Job expectations:

• This Senior Quantitative Analytics Specialist position is an individual contributor role in the Trading, Market and Counterparty Risk team within MRM. This team deals with validating mathematical models for pricing and hedging complex financial instruments. We use traditional and cutting-edge techniques in applied and computational mathematics to assess and validate models. In particular, the candidate is expected to have hands-on knowledge of working on PFE (Potential Future Exposure) models, XVA framework and Counterparty Credit Risk concepts. Candidate should have strong knowledge of derivative pricing theory, numerical techniques in Mathematical Finance such as Numerical PDE, Monte-Carlo Methods and Computational Programming.
• A Senior Quantitative Analytics Specialist should have a deep academic knowledge, broad based approach to solve business problems. He/she should approach the problem agnostic of analytic technique, tool or process. Ability to think outside the box and provide ensemble solutions should set them apart to be a high performing team member.
• Wells Fargo’s Model Risk Management is responsible for independently overseeing the management of model risk exposures across the enterprise (including governing, monitoring, and reporting on aggregate model risk exposures, model validations, and model oversight across enterprise). This oversight extends to all phases of a model’s life cycle, including identification, development, validation, implementation, finding resolution, usage, performance monitoring, documentation, and retirement.
• MRM operates in a fast-paced work environment with continuously changing policies and technologies. The successful candidate is expected to be self- motivated, require minimal supervision, and produce work that is consistent with MRM’s recognized high standards.  Effective work will involve familiarity with source systems of record, analytical data and sampling plans, model replications, model performance assessments, and test model development as effective challenges to lines of business.  It further requires strength in writing detailed standard analytical reports to ensure Wells Fargo’s compliance with governance policies and regulations. Each validation report will include assessments of the specific business, model purpose and history, the model methodology, data integrity, model development, performance, implementation, and monitoring.  These documents are read by a broad audience, including auditors and regulators.

Posting End Date: 

9 Mar 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

About this role:

Wells Fargo is seeking a Senior Quantitative Analytics Specialist - Market Risk Model Validation.

In this role, you will:

• Perform highly complex activities related to creation, implementation, and documentation
• Use highly complex statistical theory to quantify, analyze and manage markets
• Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
• Utilize structured securities and provide expertise on theory and mathematics behind the data
• Manage market, credit, and operational risks to forecast losses and compute capital requirements
• Participate in the discussion related to analytical strategies, modeling and forecasting methods
• Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
• Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills

Required Qualifications:

• 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• Performing mathematical model validation using Python, C++, R, and SQL or other programming languages and mathematical/statistical packages
• Producing required documentation to substantiate model validation.
• Analyzing processes and work flows to make recommendations for process improvement in various risk management and/or business areas as well as participating in and leading model risk projects.
• Strong mathematical, statistical, analytical and computational skills
• Strong communication skills for a variety of audiences (other technical staff, senior management and regulators) both verbally and in writing
• Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions
• Ability to work independently on complex model validations from start to finish
• Able to demonstrate first-hand knowledge of advanced topics in various mathematical and numerical methods such as Monte Carlo, stochastic calculus, differential equations, linear algebra, applied probability, and statistics;
• Skill in managing relationships with key model stakeholders
• Eagerness to contribute collaboratively on projects and discussions
• Perpetual interest in learning something new, but being comfortable with not knowing the all the answers
• Attention to detail in both analytics and documentation
• Aptitude for synthesizing data to 'form a story' and align information to contrast/compare to industry perspective
• Intellectually curious, who enjoy solving problems
• Excellent programing skills and use of software packages such as C++, Python, R, SAS and SQL
• Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
• Good interpersonal skills and ability to develop partnerships and collaborate with other business and functional areas

Job expectations:

• This Senior Quantitative Analytics Specialist position is an individual contributor role in the Trading, Market and Counterparty Risk team within MRM. This team deals with validating mathematical models for pricing and hedging complex financial instruments. We use traditional and cutting-edge techniques in applied and computational mathematics to assess and validate models. In particular, the candidate is expected to have hands-on knowledge of working on PFE (Potential Future Exposure) models, XVA framework and Counterparty Credit Risk concepts. Candidate should have strong knowledge of derivative pricing theory, numerical techniques in Mathematical Finance such as Numerical PDE, Monte-Carlo Methods and Computational Programming.
• A Senior Quantitative Analytics Specialist should have a deep academic knowledge, broad based approach to solve business problems. He/she should approach the problem agnostic of analytic technique, tool or process. Ability to think outside the box and provide ensemble solutions should set them apart to be a high performing team member.
• Wells Fargo’s Model Risk Management is responsible for independently overseeing the management of model risk exposures across the enterprise (including governing, monitoring, and reporting on aggregate model risk exposures, model validations, and model oversight across enterprise). This oversight extends to all phases of a model’s life cycle, including identification, development, validation, implementation, finding resolution, usage, performance monitoring, documentation, and retirement.
• MRM operates in a fast-paced work environment with continuously changing policies and technologies. The successful candidate is expected to be self- motivated, require minimal supervision, and produce work that is consistent with MRM’s recognized high standards.  Effective work will involve familiarity with source systems of record, analytical data and sampling plans, model replications, model performance assessments, and test model development as effective challenges to lines of business.  It further requires strength in writing detailed standard analytical reports to ensure Wells Fargo’s compliance with governance policies and regulations. Each validation report will include assessments of the specific business, model purpose and history, the model methodology, data integrity, model development, performance, implementation, and monitoring.  These documents are read by a broad audience, including auditors and regulators.

Posting End Date: 

26 Feb 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

About this role:

The Model Risk Management (MRM) Governance team at Wells Fargo is seeking a Senior Lead Enterprise Risk Officer in the Policy and Program Governance team to play a critical role in shaping and executing the firm’s AI Risk Management Policy and governance framework. This role focuses on building and sustaining strong cross functional front line engagement to support effective implementation of AI risk requirements, including governance, controls, and oversight for AI enabled use cases and services. The position serves as a key connector between enterprise AI governance, model risk governance, and front line execution.

The Senior Lead Enterprise Risk Officer should be recognized as a technical and policy advisor who takes initiative to understand the intent and objectives of requirements established in the AI Risk Management Policy and Model Risk Management Policy, leads implementation strategy with front line stakeholders, and connects the dots within and across AI governance and model risk programs. The individual should emphasize a customer focused approach, be accountable to outcomes, and ensure work products are appropriately socialized with impacted stakeholders prior to publication or implementation.
Learn more about the career areas and business divisions at wellsfargojobs.com.

In this role, you will:
Policy and Program Governance

• Provide vision, direction, and expertise to oversee implementation of enterprise AI risk management policy, procedures, and governance processes with appropriate integration into AI and Model Risk Management practices across business groups and independent risk management.
• Translate policy requirements into corporate procedures, training, guidance documentation, and job aids to enable practical and consistent application of AI governance and AI risk management requirements.
• Act as a policy subject matter expert, translating complex business, technical, and regulatory needs related to AI and models into objectives, plans, specifications, resources, and long‑term goals.
• Educate front‑line partners on AI policy and governance requirements and implement effective monitoring routines to assess adherence and execution quality.
• Provide oversight and credible challenge of front‑line processes used to execute AI risk management and model risk requirements.
• Advise front‑line business on formal issues and corrective actions related to AI risk and model risk governance.
• Identify, monitor, report, and escalate policy violations and exceptions related to AI Risk Policy and Model Risk Policy.
• Execute and maintain AI risk and model risk governance controls, including documentation standards, control design, and monitoring activities.
• Analyze data to identify trends and root causes to assess AI and model‑related risks.
• Ensure artifact‑level data integrity, including identification and remediation of defects in systems of record (SOR) supporting AI and model governance.
• Provide coordination and support between Model Risk Officers (MROs), Group Model Risk Officers (GMROs), and front‑line AI service owners, model owners, developers, and governance teams.

Program and Stakeholder Management

• Define and implement strategies to integrate and align AI risk governance with other enterprise programs and risk teams to ensure AI and model risks are consistently considered and overseen across the firm.
• Develop and maintain partnerships with front line AI governance teams, model governance teams, and key risk partners.
• Develop and deliver presentations and key communications to AI governance, model risk executives, leaders, and stakeholders.
• Interpret and consolidate information into leadership reporting that is clear, actionable, and effectively communicates risk exposure and non compliance with AI and model risk policies.
• Ensure ongoing artifact level data integrity and remediation of defects within systems of record supporting AI and model risk governance.

Required Qualifications:

• 7+ years of Risk Management experience (Compliance, Financial Crimes, Operational Risk, Audit, Legal, Credit Risk, Market Risk, IT Systems Security, Business Process Management) or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Experience in Model Risk, EUCT Risk, or AI Governance (first or second line), and/or Operational Risk governance.
• Bachelor’s degree (BS/BA) or higher.
• Ability to synthesize complex information into clear, actionable leadership reporting, including risks of non‑compliance.
• Strong communication and presentation skills with the ability to clearly articulate risks, issues, and recommendations to stakeholders at all levels.
• Strong analytical skills with high attention to detail and accuracy.
• Excellent organizational, multi‑tasking, prioritization, collaboration, and partnering abilities.
• Proven ability to make sound, timely decisions in a fast‑paced, results‑driven environment.

Job Expectations:

• Ability to travel up to 15% of the time.
• This position offers a hybrid work schedule.
• Willingness to work onsite at stated location on the job posting.

Job Locations:

• 401 S Tryon Street, Charlotte, NC
• 401 Las Colinas Blvd W, Irving, TX
• 600 S 4th Street, Minneapolis, MN

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$159,000.00 - $279,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement

Posting End Date:

18 Feb 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.